scholarly journals Education Informatization 2.0 in China: Motivation, Framework, and Vision

2020 ◽  
pp. 209653112094492
Author(s):  
Shouxuan Yan ◽  
Yun Yang
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Educational Resources ◽  
National Network ◽  
Education Governance ◽  
Education Service ◽  
New Models ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
New Education

Purpose: This article aims to shed light on a latest education informatization policy blueprint in China, titled Education Informatization 2.0 Action Plan, which was promulgated by the Ministry of Education in China on April 18, 2018. Design/Approach/Methods: The study is an analytical policy review based on the policy documents, theoretical discussion, and development of practice. Findings: This new Chinese education informatization policy was driven by three factors: the promotion of education informatization 1.0 in China, the requirement of education modernization toward 2035, and the response to “Wisdom Education.” The framework for action can be summarized as “One Goal, Three Tasks, and Eight Actions.” The main features involve innovation-driven development rather than technology-driven development, committing to the expansion of digital educational resources rather than the digital presentation of textbooks, and aiming at improving teachers and students’ information literacy rather than the applied skills of information technology. The future vision of the plan involves building new models on talent cultivation, education service, and education governance. The new models on talent cultivation involve establishing “Wisdom Teaching” mode, learning mode, and intelligent learning environment supported by artificial intelligence technology. The new education service models entail building the admission and sharing mechanism of quality educational resources based on National Network for Education and the public service platform and system for educational resources by means of the cloud computing and artificial intelligence. The new education governance models involve achieving precise, flat, and humanized education governance. Originality/Value: This article entails expounding the motivation, framework for action, main features, and vision of the education informatization 2.0 in China, which will be helpful for learning and understanding the current background, stage, and future path of China’s education informatization.

scholarly journals Research on Campus Education Information System Based on Internet of Things and Artificial Intelligence Decision

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Hetiao Hong
Keyword(s):  
Artificial Intelligence ◽  
Information System ◽  
Original System ◽  
Functional Testing ◽  
Excellent Performance ◽  
Teachers And Students ◽  
Interface Function ◽  
Artificial Intelligence Technology ◽  
Education Platform ◽  
Better Than

Because of the different reasons between regions, the distribution of educational resources is also different, the development of each school is unbalanced, and the degree of campus education informationization is different. The complex functional structure not only does not facilitate teachers and students but also leads to many problems: the prevention and prevention of campus life safety. It is difficult to keep and use multiple cards owned by one person. Software and education platform cannot be seamlessly connected, and there are various barriers between data and data and people and data. The lack of learning materials leads to the inequality of information. There are no good feedback and solution between teachers and students. It is difficult to manage accurately with a large number of people. This study will be based on the Internet and artificial intelligence technology, to explore how to study a large (or super large), concise and efficient, and excellent performance of campus education information system; this system can meet the teachers and students no matter what year, month, and day of a large number of visits. For some problems in the process of building the system, actively optimize and refine them. After functional testing and analysis of the system, the experimental results show that the interface function of the new system is stable, the usability test is better than the feedback experience of the original system, the response time is reduced by 21.6% on average, and the overall power consumption of the system is reduced by about 1.43% on average.

scholarly journals Connotation Analysis and Paradigm Shift of Teaching Design under Artificial Intelligence Technology

2021 ◽  
Vol 16 (05) ◽  
pp. 73
Author(s):  
Jian Huang ◽  
Gang Shen ◽  
Xiping Ren
Keyword(s):  
Artificial Intelligence ◽  
Paradigm Shift ◽  
Learning Ability ◽  
Teaching Activities ◽  
Learning Efficiency ◽  
Teaching Objectives ◽  
Teaching Design ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Teaching Efficiency

The influence of artificial intelligence technology on teaching design is explored to improve teaching efficiency. First, artificial intelligence is introduced and its impacts on teaching design are analyzed. Second, the connotation of the paradigm of teaching design and the paradigm shift for teaching design are explored using the paradigm shift analysis framework. Finally, the changes in teaching design under artificial intelligence are analyzed, and the impacts of artificial intelligence on teaching activities are investigated. The results show that the application of artificial intelligence technology has led to different levels of change in the six elements of teaching design, including teaching objectives, service objects (teachers and students), teaching content, teaching media, teaching environment, and teaching evaluation. The connotation and paradigm shift of the teaching design are introduced from the four elements based on the artificial intelligence technology. It is found that artificial intelligence technology can enhance the learning ability and cognitive ability of students to a certain extent while improving the teaching efficiency and learning efficiency. The investigation proves that the teaching design based on artificial intelligence technology can be applied to teaching activities, thereby improving the learning efficiency of students and the teaching efficiency of teachers.

scholarly journals Course of Artificial Intelligence + Composition for Young Backbone Teachers

2020 ◽  
Vol 2 (1) ◽  
pp. 22-26
Author(s):  
Lian LIU
Keyword(s):  
Artificial Intelligence ◽  
Music Education ◽  
Markov Chain Model ◽  
Application Framework ◽  
Chain Model ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Music Model ◽  
Intelligent Technology ◽  
Practical Teaching

Based on the analysis of the needs in the education field, the basic application framework scenarios of the current artificial intelligence technology in the field of music education are constructed. The characteristics of various models (typed music model, Markov chain model, genetic algorithm model, neural network model, etc.) are used to improve the rule knowledge to form a practical and effective hybrid model. The innovation lies in combining non-note units (reproducing structures) in music composition to intelligently compose tracks by combining formulas and matrix data combinations. The project conducts in-depth cooperation on the training of composition teachers and students from the fields of curriculum teaching, practical teaching, and innovation competition, and strives to combine theoretical teaching and engineering cases, practical teaching and industrial products, subject competition and intelligent technology. Combination to achieve collaborative education of industry-academia cooperation.

Intelligent Evaluation System of Animation Works Based on ELP

2013 ◽  
Vol 756-759 ◽  
pp. 2416-2421
Author(s):  
Jun Li Zhao
Keyword(s):  
Artificial Intelligence ◽  
Digital Media ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Qualitative Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
E Learning

In digital media area, exchange and evaluation of the animation works has become a prominent problem. In this paper, we develop an intelligent evaluation system of animation works based on E-learning portfolio, which can record students animation works and learning files in digitized form. It achieves a combination of quantitative evaluation and qualitative evaluation using fuzzy comprehensive evaluation and artificial intelligence technology. It can not only generate the scores, but also generate remarks automatically. This will facilitate teachers and students to exchange and evaluate animation works, and improve the quality of evaluation.

scholarly journals Using Artificial Intelligence for the Construction of University Physical Training and Teaching Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Liang Li ◽  
Lu Zhang ◽  
Su Zhang
Keyword(s):  
Artificial Intelligence ◽  
Educational System ◽  
Physical Training ◽  
Teaching Quality ◽  
Educational Systems ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Theoretical Application ◽  
And Training ◽  
Training Efficiency

The combination of education and artificial intelligence is the developmental direction of future educational systems. Through the participation of artificial intelligence, an educational system with sensibility and computer rationality can be created. Albeit the advantages and importance of this education system are beyond doubt, nevertheless, at present, the combination of artificial intelligence and education is still in its infancy. This is because the theoretical application, equipment research, and development are neither perfect nor up to the required standard. The research points out the reality that artificial intelligence technology has been widely used in sports and analyzes the specific application of artificial intelligence in sports. In this paper, the knowledge of artificial intelligence is combined with the physical training and teaching in colleges and universities, and an educational system is developed to guide teachers' and students’ training, which improves the teaching quality and training efficiency.

scholarly journals The Potential Energy of Artificial Intelligence Technology in University Education Reform from the Perspective of Communication Science

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yinghui Yang
Keyword(s):  
Artificial Intelligence ◽  
Online Education ◽  
Potential Energy ◽  
Education Reform ◽  
Science Communication ◽  
College Education ◽  
Machine Learning Algorithms ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Education Platform

In today’s rapid development of science and technology, science is everywhere in people’s lives, and science communication is everywhere. Science and communication are not only not far away but also very close. Since machine learning algorithms with deep learning as a theme have achieved great success in the fields of vision and speech recognition, as well as the large amount of data resources that cloud computing, big data, and other technologies can provide, the development speed of artificial intelligence has been greatly improved, and it has had a significant impact in various industries in the society, and the country has put forward the concept of intelligent education for this purpose. However, there have been few systematic discussions on the combination of artificial intelligence with education and teaching. Therefore, this article uses artificial intelligence technology to study the potential energy space of artificial intelligence technology in college education reform from the perspective of science communication, designs and implements an online education platform for colleges and universities, and conducts a trial of platform use in a domestic college and universities. Some teachers and students conduct a satisfaction survey after the platform is used, and the conclusions show that whether in the teacher group or the student group, most teachers and students are relatively satisfied with the online education platform designed in this article. The reform of college education includes many aspects. This article is a research study on the form of college education, changing from traditional offline education to online platform education. This research can provide a certain reference for the reform of college education.

scholarly journals THE CHANGES IN THE ROLES OF TEACHERS FROM THE PERSPECTIVE OF ARTIFICIAL INTELLIGENCE

2021 ◽  
Author(s):  
XIAOMIN LI
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Traditional Education ◽  
George Herbert ◽  
State Council ◽  
George Herbert Mead ◽  
Starting Point ◽  
Artificial Intelligence Technology ◽  
Technology And Education ◽  
The Times

Abstract. Information technology is constantly changing in the torrent of the times. Big data, Internet of Things, cloud computing and other technologies continue to break through their own barriers, strengthen the mutual integration between technology and education, and slowly fill the gap between artificial intelligence technology and education. Gradually realized education informatization and technology. In 2018, the State Council issued “China Education Informatization 2035”, “Education Informatization 2.0 Action Plan” and other documents, all of which are guiding, supporting and encouraging my country to realize the wisdom of education. The term role was first introduced by the American social psychologist George Herbert Mead to analyze that what is individuals should behave in different situations. This article takes artificial intelligence as the starting point and school education as the background, by analyzing the changes of artificial intelligence for education and the differences between traditional education, which will deepen the thinking and understanding of artificial intelligence and the professional roles of teachers.

scholarly journals A Study of Automatic Judgment of Food Color and Cooking Conditions with Artificial Intelligence Technology

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1128
Author(s):  
Chern-Sheng Lin ◽  
Yu-Ching Pan ◽  
Yu-Xin Kuo ◽  
Ching-Kun Chen ◽  
Chuen-Lin Tien
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Color Space ◽  
Color Difference ◽  
Color Space Conversion ◽  
Before And After ◽  
Artificial Intelligence Technology ◽  
Artificial Intelligence Algorithm ◽  
Time Image ◽  
Cooking Conditions

In this study, the machine vision and artificial intelligence algorithms were used to rapidly check the degree of cooking of foods and avoid the over-cooking of foods. Using a smart induction cooker for heating, the image processing program automatically recognizes the color of the food before and after cooking. The new cooking parameters were used to identify the cooking conditions of the food when it is undercooked, cooked, and overcooked. In the research, the camera was used in combination with the software for development, and the real-time image processing technology was used to obtain the information of the color of the food, and through calculation parameters, the cooking status of the food was monitored. In the second year, using the color space conversion, a novel algorithm, and artificial intelligence, the foreground segmentation was used to separate the vegetables from the background, and the cooking ripeness, cooking unevenness, oil glossiness, and sauce absorption were calculated. The image color difference and the distribution were used to judge the cooking conditions of the food, so that the cooking system can identify whether or not to adopt partial tumbling, or to end a cooking operation. A novel artificial intelligence algorithm is used in the relative field, and the error rate can be reduced to 3%. This work will significantly help researchers working in the advanced cooking devices.

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